Decentralized identification and multimetric monitoring of civil infrastructure using smart sensors

Sim, Sung-Han; Spencer, Billie F., Jr.

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https://hdl.handle.net/2142/88326 Copy

Description

Title

Decentralized identification and multimetric monitoring of civil infrastructure using smart sensors

Author(s)

• Sim, Sung-Han
• Spencer, Billie F., Jr.

Issue Date

2015-06

Keyword(s)

• Structural health monitoring
• Smart sensors
• Decentralized data processing
• Multimetric sensing
• Decentralized modal analysis

Abstract

Wireless Smart Sensor Networks (WSSNs) facilitates a new paradigm to structural identification and monitoring for civil infrastructure. Conventionally, wired sensors and central data acquisition systems have been used to characterize the state of the structure, which is quite challenging due to difficulties in cabling, long setup time, and high equipment and maintenance costs. WSSNs offer a unique opportunity to overcome such difficulties. Recent advances in sensor technology have realized low-cost, smart sensors with on-board computation and wireless communication capabilities, making deployment of a dense array of sensors on large civil structures both feasible and economical. However, as opposed to wired sensor networks in which centralized data acquisition and processing are common practice, WSSNs require decentralized algorithms due to the limitation associated with wireless communication; to date such algorithms are limited. This research develops new decentralized algorithms for structural identification and monitoring of civil infrastructure. To increase performance, flexibility, and versatility of the WSSN, the following issues are considered specifically: (1) decentralized modal analysis, (2) efficient decentralized system identification in the WSSN, and (3) multimetric sensing. Numerical simulation and laboratory testing are conducted to verify the efficacy of the proposed approaches. The performance of the decentralized approaches and their software implementations are validated through full-scale applications at the Irwin Indoor Practice Field in the University of Illinois at Urbana-Champaign and the Jindo Bridge, a 484 meter-long cable-stayed bridge located in South Korea. This research provides a strong foundation on which to further develop long-term monitoring employing a dense array of smart sensors. The software developed in this research is opensource and is available at: http://shm.cs.uiuc.edu/.

Publisher

Newmark Structural Engineering Laboratory. University of Illinois at Urbana-Champaign.

Series/Report Name or Number

Newmark Structural Engineering Laboratory Report Series 038

ISSN

1940-9826

Type of Resource

text

Language

en

Permalink

http://hdl.handle.net/2142/88326

Sponsor(s)/Grant Number(s)

• NSF Grant No. CMS-060043
• NSF Grant No. CMMI-0724172
• NSF Grant No. CMMI-0928886
• NSF Grant No. CNS-1035573

Copyright and License Information

Copyright held by the authors. All rights reserved.

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